Foveated HDR: Efficient HDR Content Generation on Edge Devices Leveraging User's Visual Attention

In recent years, high dynamic range (HDR) content has become increasingly popular for its ability to represent a broader brightness range, enhancing the realism and immersion in applications like augmented reality/virtual reality (AR/VR) on edge devices. While DNN-based solutions are effective for reconstructing high-fidelity HDR content, due to their high computational demands and memory usage, the DNN-based HDR reconstruction takes up to several seconds to generate one HDR image, making it very challenging to deploy such techniques onto the edge devices.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3676729
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Foveated HDR: Efficient HDR Content Generation on Edge Devices Leveraging User's Visual Attention

Mahmut Kandemir, Sandeepa Bhuyan, Yingtian Zhang, Chita R. Das et al.
Image Enhancement Techniques
article

Foveated HDR: Efficient HDR Content Generation on Edge Devices Leveraging User's Visual Attention

Mahmut Kandemir, Sandeepa Bhuyan, Yingtian Zhang, Chita R. Das, Ziyu Ying, Yan Kang
article en

Abstract

In recent years, high dynamic range (HDR) content has become increasingly popular for its ability to represent a broader brightness range, enhancing the realism and immersion in applications like augmented reality/virtual reality (AR/VR) on edge devices. While DNN-based solutions are effective for reconstructing high-fidelity HDR content, due to their high computational demands and memory usage, the DNN-based HDR reconstruction takes up to several seconds to generate one HDR image, making it very challenging to deploy such techniques onto the edge devices.

Pennsylvania State University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 71%
Image Enhancement Techniques
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